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/*
* =========================================================================================
* Copyright © 2013-2014 the kamon project <http://kamon.io/>
*
* Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file
* except in compliance with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software distributed under the
* License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
* either express or implied. See the License for the specific language governing permissions
* and limitations under the License.
* =========================================================================================
*/
package kamon.statsd
import akka.actor.{ Props, Actor, ActorRef }
import kamon.metrics._
import kamon.metrics.Subscriptions.TickMetricSnapshot
import kamon.metrics.ActorMetrics.ActorMetricSnapshot
class StatsDMetricTranslator extends Actor {
val config = context.system.settings.config
val metricKeyGenerator = new SimpleMetricKeyGenerator(config)
val metricSender = context.actorOf(StatsDMetricsSender.props, "metrics-sender")
def receive = {
case TickMetricSnapshot(from, to, metrics) ⇒
val translatedMetrics = metrics.collect {
case (am @ ActorMetrics(_), snapshot: ActorMetricSnapshot) => transformActorMetric(am, snapshot)
}
metricSender ! StatsD.MetricBatch(translatedMetrics.flatten)
}
def transformActorMetric(actorIdentity: ActorMetrics, snapshot: ActorMetricSnapshot): Vector[StatsD.Metric] = {
val timeInMailboxKey = metricKeyGenerator.generateKey(actorIdentity, ActorMetrics.TimeInMailbox)
val processingTimeKey = metricKeyGenerator.generateKey(actorIdentity, ActorMetrics.ProcessingTime)
roll(timeInMailboxKey, snapshot.timeInMailbox, StatsD.Timing) ++ roll(processingTimeKey, snapshot.processingTime, StatsD.Timing)
}
def roll(key: String, snapshot: MetricSnapshotLike, metricBuilder: (String, Double, Double) => StatsD.Metric): Vector[StatsD.Metric] = {
val builder = Vector.newBuilder[StatsD.Metric]
for(measurement <- snapshot.measurements) {
val samplingRate = 1D / measurement.count
val scaledValue = Scale.convert(snapshot.scale, Scale.Milli, measurement.value)
builder += metricBuilder.apply(key, scaledValue, samplingRate)
}
builder.result()
}
}
object StatsDMetricTranslator {
def props: Props = Props[StatsDMetricTranslator]
}
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